Full Stack Generative AI Engineer

Key Responsibilities: Design, develop, and maintain full-stack applications Build modern, responsive user interfaces using Next.js and React Develop scalable backend services and APIs using Python and FastAPIDesign, query, and integrate data using Microsoft SQL Server Integrate Generative AI and LLM capabilities into enterprise applications Build applications that leverage scientific literature, real-world evidence, and other structured and unstructured information Develop AI-enabled solutions for research, information retrieval, summarization, knowledge discovery, and decision support Work across the full software development lifecycle, including architecture, development, testing, deployment, and enhancement Collaborate closely with data scientists, AI professionals, product/business partners, and stakeholders Translate business and scientific requirements into practical, scalable software solutions Evaluate and incorporate emerging AI technologies and development approaches Write clean, maintainable, well-tested code and contribute to sound engineering practices

Required Qualifications: 3 to 6 years of professional software engineering/full-stack development experience Bachelor's degree in Computer Science, Software Engineering, or a related technical field Strong experience with modern Java Script/Type Script development Experience with React, with Next.js strongly preferred Strong experience with Python Experience developing APIs and backend services, with FastAPI strongly preferred Experience working with SQL databases, with Microsoft SQL Server preferred Experience building and integrating web applications across both frontend and backend technologies Experience working with APIs and integrating external data or services Exposure to Generative AI, Large Language Models, or AI-powered application development Strong analytical and problem-solving skills Strong communication and collaboration skills Ability to work effectively in a fast-paced environment where requirements and technologies may evolve quickly Generative AI Experience The successful candidate will have experience or meaningful exposure to using Generative AI and Large Language Models in software applications. Relevant experience may include: Building applications powered by LLM APIsIntegrating Generative AI capabilities into web applicationsAI-powered search and information retrieval Question-answering or knowledge-management applications Automated summarization or document analysis Prompt engineering and LLM interaction design Retrieval-augmented generation (RAG)Working with embeddings, vector search, or knowledge bases Evaluating the accuracy, quality, and reliability of AI-generated outputs The ideal candidate does not need to be a machine-learning researcher. This role is focused on engineering and deploying useful applications that leverage AI.

Preferred Qualifications: Strong hands-on experience with Next.js Strong hands-on experience with FastAPIExperience with Microsoft SQL Server Experience developing production applications using Generative AI/LLMsExperience with RAG, embeddings, vector databases, or AI-powered search Experience with cloud-based application development Experience working with healthcare, pharmaceuticals, life sciences, or another highly regulated industry Experience working with scientific, medical, clinical, or real-world evidence data Master's degree in Computer Science, Software Engineering, Data Science, AI, or a related technical discipline